This is a bot that asks a simple array of questions that lets the bot fire an API request on RightMove to fetch results and display. A little NLP and spelling mistake detection was used for better detection of location names, developing a tolerance for spelling mistakes or slang.
Smarter.Codes is in its 3rd generation now and things are looking exciting now. Here is a pilot run we did where we were provided with some less than 100 documents shared among customer support department of a company (essentially their knowledgebase compiled over years of operation). The Problem: This company has 4,000 clients, actively calling […]
This is an Email bot that we are designing for a client that lets you automate lead qualification for the sales team. Powered by Natural Language Understanding, the system makes sense of incoming emails (not based on keywords) and asks them followup questions and warms them up to make them ready for an actual human […]
Building a chatbot for your business can be fun. It's amazing how Chat bots can automate a major part of your business, specially if it has to interact with a lot of customers. Before you get started, it is wise to anticipate the type of conversations your chatbot...
A robot needs to be told what it needs to do, something it is designed for. If you are building a chatbot with a purpose, it must ask a series of questions to the user to carry forward the conversation. Just like while filling up a webform (which is like an input to...
Detecting nutrition of food items can be challenging when it comes to accuracy. Most of the databases are dependent upon USDA database that lacks in several aspects: 1. Not all branded products supported 2. Not all common food items supported 3. Lack of knowledge of...
